东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (9): 1226-1229.DOI: -

• 论著 • 上一篇    下一篇

固定带宽下的无标度网络交通流分析

于灏;井元伟;周玉成;马妍;   

  1. 东北大学信息科学与工程学院;中国林业科学研究院木材工业研究所;青岛理工大学经贸学院;东北大学工商管理学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-09-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60274099);;

Dynamic analysis of scale-free network traffic with fixed bandwidth

Yu, Hao (1); Jing, Yuan-Wei (1); Zhou, Yu-Cheng (2); Ma, Yan (3)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China; (3) School of Economy and Trade, Qingdao Technological University, Qingdao 266520, China; (4) School of Business Administration, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-09-15 Published:2013-06-20
  • Contact: Yu, H.
  • About author:-
  • Supported by:
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摘要: 讨论了一类固定带宽下的复杂网络交通流问题,构建了一类具有连接带宽约束的复杂网络交通流模型.以交通流中的信息流为背景,在"具有可调聚类系数"的BA无标度网络中,定性地研究了不同带宽约束下的网络负载变化问题.发现在具有较大带宽的网络中,网络具有较大的负载能力;并且网络负载能力随着网络带宽约束的增加而大幅度地降低,当带宽约束增加到可允许的极限时,网络交通的负载能力已经不受网络节点处理数据包能力的影响.并从复杂网络拓扑和交通流机理角度定性地分析了带宽约束对网络交通流影响的原因.

关键词: 带宽约束, 无标度网络, 聚类系数, 度, 交通流

Abstract: Discusses a class of problems on complex network traffic that has a fixed bandwidth, and develops a relevant model with link bandwidth constraint. Taking the information flow in traffic as a background, the change in network load with different bandwidth constraints is investigated qualitatively in a BA scale-free network with an "adjustable clustering coefficient". It is found that there is a high load capacity in the network with wide bandwidth, and the load capacity in the network is reduced greatly with reinforcing bandwidth constraint. When the bandwidth constraint is reinforced to its permissible limit, the load capacity of network traffic has already not been affected by the capacity of data processing package. The reason why the bandwidth constraint affects network traffic is analyzed qualitatively from the perspective of complex network topology and traffic mechanism.

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